- Affine geometry
- >
- Convex geometry
- >
- Convex analysis
- >
- Generalized convexity

- Calculus of variations
- >
- Variational analysis
- >
- Convex analysis
- >
- Generalized convexity

- Control theory
- >
- Variational analysis
- >
- Convex analysis
- >
- Generalized convexity

- Fields of geometry
- >
- Convex geometry
- >
- Convex analysis
- >
- Generalized convexity

- Functional analysis
- >
- Variational analysis
- >
- Convex analysis
- >
- Generalized convexity

- Linear algebra
- >
- Convex geometry
- >
- Convex analysis
- >
- Generalized convexity

- Optimization in vector spaces
- >
- Variational analysis
- >
- Convex analysis
- >
- Generalized convexity

Biconvex optimization

Biconvex optimization is a generalization of convex optimization where the objective function and the constraint set can be biconvex. There are methods that can find the global optimum of these proble

Convex function

In mathematics, a real-valued function is called convex if the line segment between any two points on the graph of the function lies above the graph between the two points. Equivalently, a function is

Supermodular function

In mathematics, a function is supermodular if for all , , where denotes the componentwise maximum and the componentwise minimum of and . If −f is supermodular then f is called submodular, and if the i

Quasiconvex function

In mathematics, a quasiconvex function is a real-valued function defined on an interval or on a convex subset of a real vector space such that the inverse image of any set of the form is a convex set.

Linear-fractional programming

In mathematical optimization, linear-fractional programming (LFP) is a generalization of linear programming (LP). Whereas the objective function in a linear program is a linear function, the objective

Pseudoconvex function

In convex analysis and the calculus of variations, both branches of mathematics, a pseudoconvex function is a function that behaves like a convex function with respect to finding its local minima, but

Invex function

In vector calculus, an invex function is a differentiable function from to for which there exists a vector valued function such that for all x and u. Invex functions were introduced by Hanson as a gen

© 2023 Useful Links.